AUV Abyss workflow: autonomous deep sea exploration for ocean research.

Klischies, Meike , Rothenbeck, Marcel, Steinführer, Anja, Yeo, Isobel A., Ferreira, Christian dos Santos, Mohrmann, Jochen, Faber, Claas and Schirnick, Carsten (2018) AUV Abyss workflow: autonomous deep sea exploration for ocean research. [Paper] In: AUV 2018 - 2018 IEEE/OES Autonomous Underwater Vehicle Workshop. , 06.-09.11.2018, Porto, Portugal . 2018 IEEE/OES Autonomous Underwater Vehicle Workshop (AUV) Proceedings. ; Article number 8729722 . DOI 10.1109/AUV.2018.8729722.

[img] Text
Klischies - Published Version
Restricted to Registered users only

Download (279Kb) | Contact

Supplementary data:


Autonomous underwater vehicles (AUVs) equipped with multibeam echosounders (MBES) are essential for collecting high-resolution bathymetric data in the deep sea. Navigation of AUVs and accuracy of acquired MBES data is challenging, especially in deep water or rough terrain. Here, we present the AUV Abyss operational workflow that uses mission planning together with a long baseline (LBL) positioning network, and systematic post-processing of the MBES data using feature matching. The workflow enables autonomous exploration even in difficult terrain, makes ultrashort baseline navigation during the AUV survey obsolete and with this, increases the efficiency of ship time. It provides an efficient workflow for multi-survey mapping campaigns to produce high-resolution, large-coverage seafloor maps. Automated documentation of post-processing steps enhances the archiving of produced results, facilitates knowledge transfer, adaptation to other systems and management of large datasets. Comprehensive documentation allows developing routines that provide a first step towards automatization of AUV operations and MBES data processing.

Document Type: Conference or Workshop Item (Paper)
Keywords: AUV Abyss, AUV navigation, dive planning, high-resolution mapping, multi-survey campaign, spost-processing
Research affiliation: MARUM
OceanRep > GEOMAR > ZE Central Facilities > ZE-RZ Data Centre
OceanRep > GEOMAR > FB2 Marine Biogeochemistry > FB2-MG Marine Geosystems
OceanRep > GEOMAR > FB4 Dynamics of the Ocean Floor > FB4-MUHS
DOI etc.: 10.1109/AUV.2018.8729722
Projects: Blue Mining, INDEX
Date Deposited: 15 Jul 2019 08:06
Last Modified: 23 Sep 2019 23:41

Actions (login required)

View Item View Item

Document Downloads

More statistics for this item...